Welcome to Our Research Lab

Genomic Medicine

Investigating genetic variations and their impact on disease susceptibility using large-scale genomic datasets.

Single Cell Analysis

Developing computational methods to dissect cellular heterogeneity at single-cell resolution.

Statistical Genetics

Creating novel statistical frameworks for association studies and polygenic risk prediction.

Machine Learning

Applying deep learning approaches to predict gene function from multi-omics data.

The pancreatic alpha cells and beta cells secrete glucagon and insulin respectively, which are counter-regulatory hormones to balance the glucose levels and ensure euglycaemia. Abnormal secretion of glucagon and insulin hormones is a hallmark of type 1 and type 2 diabetes, and so both cell types play a significant role in diabetes. In combination with zebrafish and mouse models, our research focus on: 1) The physiological and pathophysiological functions of pancreatic alpha cell; 2) The role of glucagon-glucagon receptor pathway in the regulation of metabolism. 3) Screening and identification of led-drugs for induction of pancreatic beta cell regeneration.

Publication

Creating novel statistical frameworks for association studies and polygenic risk prediction.

Gallery

Applying deep learning approaches to predict gene function from multi-omics data.

Contact

Email:  limingyu@xmu.edu.cn